eDiscovery Data Points from ComplexDiscovery

Standardizing Bias? NIST Considerations for Identifying and Managing Bias in Artificial Intelligence


Listen Later

While there are many approaches for ensuring the technology we use every day is safe and secure, there are factors specific to AI that require new perspectives. AI systems are often placed in contexts where they can have the most impact. Whether that impact is helpful or harmful is a fundamental question in the area of Trustworthy and Responsible AI. Harmful impacts stemming from AI are not just at the individual or enterprise level but are able to ripple into the broader society. The scale of damage, and the speed at which it can be perpetrated by AI applications or through the extension of large machine learning models across domains and industries requires concerted effort.
The post Standardizing Bias? NIST Considerations for Identifying and Managing Bias in Artificial Intelligence appeared first on ComplexDiscovery.
...more
View all episodesView all episodes
Download on the App Store

eDiscovery Data Points from ComplexDiscoveryBy ComplexDiscovery Blog

  • 5
  • 5
  • 5
  • 5
  • 5

5

1 ratings